System and method for Kalman filtering in vascular segmentation

a kalman filtering and vascular segmentation technology, applied in the field of vascular segmentation, can solve the problems of difficult segmentation, limited application range, and limited application range of existing approaches, and achieve the effect of reducing the number of vascular segmentation and vascular segmentation, and morphological filtering as well as geometric contours being very sensitive to local minima

Inactive Publication Date: 2009-10-13
SIEMENS MEDICAL SOLUTIONS USA INC
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Problems solved by technology

Because of low-contrast conditions and the coronaries vicinity to the blood pool, segmentation is a difficult task.
Existing approaches suffer from certain limitations.
Local operators, region growing techniques, morphological filters as well as geometric contours might be very sensitive to local minima and fail to take into account prior knowledge on the form of the vessel.
In addition, cylindrical models, parametric active contours and template matching techniques may not be well suited to account for the non-linearity of the vessel structure, and require particular handling of branchings and bifurcations.
Tracking methods can often fail in the presence of missing and corrupted data, or sudden changes.
Level sets are computationally time-consuming, and the Fast Marching algorithm loses local implicit function properties.

Method used

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  • System and method for Kalman filtering in vascular segmentation
  • System and method for Kalman filtering in vascular segmentation
  • System and method for Kalman filtering in vascular segmentation

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[0024]Exemplary embodiments of the invention as described herein generally include systems and methods for Kalman filtering in vascular segmentation. However, specific structural and functional details disclosed herein are merely representative for purposes of describing example embodiments of the present invention. This invention may, however, be embodied in many alternate forms and should not be construed as limited to the embodiments set forth herein.

[0025]Accordingly, while the invention is susceptible to various modifications and alternative forms, specific embodiments thereof are shown by way of example in the drawings and will herein be described in detail. It should be understood, however, that there is no intent to limit the invention to the particular forms disclosed, but on the contrary, the invention is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the invention. Like numbers refer to like elements throughout the descrip...

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Abstract

A method of segmenting tubular structures in digital images comprises providing a digitized image, selecting a point within an object for segmenting in the image, defining an initial state of the selected point in the object, performing an initial segmentation of a 2D cross section of the object based on the initial state, predicting a new state of said object about a new point that is a translation of said selected point along the object tangent, correcting said new state prediction based on a measurement of said new point in said image, and segmenting a 2D cross section of said object based on said new state.

Description

CROSS REFERENCE TO RELATED UNITED STATES APPLICATION[0001]This application claims priority from “Kalman Filter for Vascular Segmentation in 2D and 3D”, U.S. Provisional Application No. 60 / 663,811 of Florin, et al., filed Mar. 21, 2005, the contents of which are incorporated herein by reference,TECHNICAL FIELD[0002]This invention is directed to the segmentation of tubular structures in medical imaging and computer vision applications.DISCUSSION OF RELATED ART[0003]Cardiovascular diseases are leading causes of death in the United States. Thus, there is a great demand for improved diagnostic tools to detect and measure anomalies in the cardiac muscle. Coronary arteries are thin vessels that feed the heart muscle with blood. Therefore, their segmentation provides a valuable diagnostic tool for clinicians interested in detecting calcifications and stenoses. Because of low-contrast conditions and the coronaries vicinity to the blood pool, segmentation is a difficult task. Computed Tomogra...

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Application Information

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Patent Type & Authority Patents(United States)
IPC IPC(8): G06K9/34G06K9/00
CPCG06T7/0083G06T7/0087G06T2207/30101G06T2207/20101G06T2207/10072G06T7/12G06T7/143
Inventor FLORIN, CHARLESWILLIAMS, JAMES P.PARAGIOS, NIKOLAOS
Owner SIEMENS MEDICAL SOLUTIONS USA INC
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